Rate control of hierarchical B prediction structure for multi-view video coding

Rate control plays an important role in regulating bit streams in video coding. In order to obtain good coding performance, the hierarchical B prediction structure has been adopted in Multi-view Video Coding (MVC). However, the conventional rate control scheme is not efficient in the hierarchical B prediction structure. In this paper, we propose a rate control algorithm to address this problem. First, the accurate estimation of Mean Absolute Distortion (MAD) of the current frame is desired for both quantization parameter (QP) selection and Rate Distortion Optimization (RDO). Considering the hierarchical B structure, a bi-directional MAD prediction model is proposed to predict the MAD of the current frame by using the actual MADs of the encoded frames in the lower Temporal Layers (TLs). Second, the number of header bits has a close relationship with the TLs in the hierarchical B prediction structure. Therefore, we propose an enhanced prediction method in which a proportional relationship of the header bits is introduced if the frames are located in different TLs. Experimental results show that our proposed algorithm can achieve both accurate target bit rate and good coding performance.     

Know by a handful the whole sack: efficient sampling for top-k influential user identification in large graphs

Influence Maximization aims to find the top-K influential individuals to maximize the influence spread within a social network, which remains an important yet challenging problem. Most existing greedy algorithms mainly focus on computing the exact influence spread, leading to low computational efficiency and limiting their application to real-world social networks. While in this paper we show that through supervised sampling, we can efficiently estimate the influence spread at only negligible cost of precision, thus significantly reducing the execution time. Motivated by this, we propose ESMCE, a power-law exponent supervised Monte Carlo estimation method. In particular, ESMCE exploits the power-law exponent of the social network to guide the sampling, and employs multiple iterative steps to guarantee the estimation accuracy. Moreover, ESMCE shows excellent scalability and well suits large-scale social networks. Extensive experiments on six real-world social networks demonstrate that, compared with state-of-the-art greedy algorithms, ESMCE is able to achieve almost two orders of magnitude speedup in execution time with only negligible error (2.21 % on average) in influence spread.     

对苯二甲酸精制钯碳催化剂内扩散有效因子的估算

在高压磁力搅拌间歇反应釜中研究了粗对苯二甲酸在不同反应温度下,两种粒径的Pd/C催化剂上加氢精制反应的规律。按照该反应对于对羟基苯甲醛(4 CBA)是拟一级反应估算了催化剂的内扩散有效因子η值。本试验估算的η值与动力学研究拟合得到的η值吻合良好。     

高效液相色谱分析乙酰甲胺磷原药

采用反相高效液相色谱法测定乙酰甲胺磷原药中的有效成分,以甲醇∶水=15∶85(体积比)作为流动相,在波长为215 nm条件下检测乙酰甲胺磷原药有效成分含量,本方法的线性相关系数为0.9999,标准偏差为0.21,变异系数为0.22%,平均回收率为99.75%。     

二烷基二硫代氨基甲酸镉的合成及应用研究

合成了润滑油添加剂二戊基二硫代氨基甲酸镉,利用四球试验机研究了其在矿物基础油中的极压、抗磨性能,以及与二烷基二硫代磷酸锌(T202)有机硼酸酯和磷酸三苯酯添加剂之间的抗磨协同性能。结果表明,此添加剂体现出了较好的抗磨性能和承载能力,并且与两种硼酸酯都体现出了良好的抗磨协同性能。另外,通过箱热氧化试验简单评价了其抗氧化性能,结果表明,该添加剂具有良好的高温抗氧化性能。     

基于建筑防渗漏施工的新技术及新方法

建筑工程的防渗漏施工是建筑施工中亟待解决的问题之一。对建筑工程防渗漏施工中采用的新技术和新方法进行了阐述,以供参考。     

计算机网络安全与防范

网络安全已经成为了社会热点问题之一.针对网络的安全性和可靠性等问题,从计算机网络安全的定义、存在的问题和防范措施等方面入手,提出了一些看法.只有真正提升网络安全的防范能力,建设安全、稳定的计算机系统,才能满足个人和社会对网络的需要,从而实现安全利用计算机网络信息的目标.     

国内甲胺磷生产技术进展

甲胺磷是一种广谱性有机磷杀虫剂，它是我国生产吨位最大的农药品种。本文从合成工艺路线、生产技术现状、现存技术问题及工艺改进等方面介绍了我国甲胺磷生产的技术进展。建议应有效地控制产量增加，着重收率和含量的提高。     

气升式环流反应器强制振荡周期对传质影响的研究

在同一反应器中比较了不同振荡周期下的气液传质特性,为最优强制振荡周期的确定提供了实验依据和分析基础。选择体积传质系数及气含率作为传质研究的主要评价指标,实验结果表明,动态操作下的传质效果明显优于稳态,而不同振荡周期传质效果也大不一样。在0.8~2.4m3h-1的气速范围内,由静压力、导流管顶部截面流体速度、全床气含率(及传质系数)周期性变化所确定的振荡周期TP、TV、TK比稳态操作下的全床平均传质系数分别提高了3.92%~27.3%,2.35%~24.5%,28.2%~43.3%。由反应器内全床平均气含率或传质系数确定的振荡周期TK是最佳振荡周期。